Evidence map›Paper›PMID 35487732›Full record

ArticleBMJ open2022

Design and methodological characteristics of studies using observational routinely collected health data for investigating the link between cancer and neurodegenerative diseases: protocol for a meta-research study.

Ferrán Catalá-López, Jane A Driver, Matthew J Page, Brian Hutton, Manuel Ridao, Clara Berrozpe-Villabona, Adolfo Alonso-Arroyo, Cristina A Fraga-Medín, Enrique Bernal-Delgado, Alfonso Valencia and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ferrán Catalá-LópezDepartment of Health Planning and Economics, National School of Public Health, Institute of Health Carlos III, Madrid, Spain ferran_catala@outlook.com.ORCID 0000-0002-3833-9312
Jane A DriverGeriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA.
Matthew J PageSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Brian HuttonKnowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0001-5662-8647
Manuel RidaoInstituto Aragonés de Ciencias de la Salud, Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Zaragoza, Spain.ORCID 0000-0001-7837-5759
Clara Berrozpe-VillabonaMiguel Servet University Hospital, Zaragoza, Spain.
Adolfo Alonso-ArroyoDepartment of History of Science and Documentation, University of Valencia, Valencia, Spain.ORCID 0000-0002-5084-2818
Cristina A Fraga-MedínNational Library of Health Sciences, Institute of Health Carlos III, Madrid, Spain.ORCID 0000-0002-4342-3033
Enrique Bernal-DelgadoInstituto Aragonés de Ciencias de la Salud, Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Zaragoza, Spain.ORCID 0000-0002-0961-3298
Alfonso ValenciaLife Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.ORCID 0000-0002-8937-6789
Rafael Tabarés-SeisdedosDepartment of Medicine, University of Valencia/INCLIVA Health Research Institute and Centro de Investigación en Red de Salud Mental (CIBERSAM), Valencia, Spain.ORCID 0000-0002-1089-2204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth services generate large amounts of routine health data (eg, administrative databases, disease registries and electronic health records), which have important secondary uses for research. Increases in the availability and the ability to access and analyse large amounts of data represent a major opportunity for conducting studies on the possible relationships between complex diseases. The objective of this study will be to evaluate the design, methods and reporting of studies conducted using observational routinely collected health data for investigating the link between cancer and neurodegenerative diseases. METHODS AND ANALYSIS: This is the protocol for a meta-research study. We registered the study protocol within the Open Science Framework: https://osf.io/h2qjg. We will evaluate observational studies (eg, cohort and case-control) conducted using routinely collected health data for investigating the associations between cancer and neurodegenerative diseases (such as Alzheimer's disease, amyotrophic lateral sclerosis/motor neuron disease, Huntington's disease, multiple sclerosis and Parkinson's disease). The following electronic databases will be searched (from their inception onwards): MEDLINE, Embase and Web of Science Core Collection. Screening and selection of articles will be conducted by at least two researchers. Potential discrepancies will be resolved via discussion. Design, methods and reporting characteristics in each article will be extracted using a standardised data extraction form. Information on general, methodological and transparency items will be reported. We will summarise our findings with tables and graphs (eg, bar charts, forest plots). ETHICS AND DISSEMINATION: Due to the nature of the proposed study, no ethical approval will be required. We plan to publish the full study in an open access peer-reviewed journal and disseminate the findings at scientific conferences and via social media. All data will be deposited in a cross-disciplinary public repository.

Indexed as

NeoplasmsNeurodegenerative DiseasesCohort StudiesElectronic Health RecordsHumansObservational Studies as TopicRoutinely Collected Health Dataepidemiologyneurologypsychiatry

Identifiers

PMID35487732
PMCPMC9058779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.